Seedance 2.0 Prompt: Sunny Park Picnic & Bicycle Story
Soulful Ai
Verified AI CreatorDescription
See a girl in a butter-yellow dress enjoy a sunlit picnic and a serene bicycle ride by the lake. Featuring soft focus, light flares, and smooth camera tracking.
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video template
Scene 1 (0sā4s): Picnic Moment
A serene park bathed in golden afternoon light.A girl wearing a flowing butter-yellow summer dress sits on a soft picnic blanket with her friends. They laugh gently, surrounded by flowers, fruit, and pastel picnic decor. The camera slowly pans, capturing soft smiles, sunlight filtering through trees, and a calm breeze moving her hair.
Scene 2 (4sā8s): Soft Interaction
Close-up shots of the girl (matching reference face exactly), smiling while holding a drink or fruit. Her friends are slightly blurred in the background. Light flares and soft focus enhance the dreamy tone. Fabric of the dress moves gently, emphasizing elegance and softness.
Scene 3 (8sā12s): Bicycle by the Lake
Transition to the girl riding a vintage-style bicycle along a lakeside path in the same park. The butter-yellow dress flows naturally with motion. The lake reflects sunlight, creating a glowing atmosphere. Camera follows from side angle, smooth tracking shot.
Scene 4 (12sā16s): Peaceful Ending
The girl slows down near the lake, stepping off the bicycle. She pauses, looking at the water with a calm, content expression. Soft wind, subtle smile, sunlight highlighting her face. Final frame fades into a warm, dreamy glow.
Result
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Generations consume standard token rates depending on model specifications.
Prompt Specifications
Model Engine
bytedance/seedance-2.0
Output Format
854x480 •
8s
Verified Prompt FAQ
This prompt is used to generate AI video content with a ready-made technical structure,
model configuration, and reference image support. It helps creators test visual ideas faster
without building every prompt from scratch.
Yes. Upload your reference images inside the Prompt Tester panel on the right, then run the
generation test to preview how the prompt performs with your own visual direction.
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preview, model engine, output configuration, and testing workflow.